Parking Guidance via External Data Fusion
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Solution Overview
Problem
Current parking assistance systems rely solely on internal vehicle data, which may not provide a comprehensive view of the surroundings, leading to potential collisions and inefficiencies in parking operations, especially in complex environments.
Innovation Solution
A computer-implemented method that receives and processes parking-related data from multiple external sources, such as cameras and sensors, to generate and present guidance to drivers, enhancing the accuracy and safety of parking by combining internal and external data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If parking assistance systems rely solely on internal vehicle data, then the system complexity is reduced, but the measurement precision and reliability of surrounding environment detection deteriorate
Solution Approach 1:
The patent combines internal vehicle sensors (cameras, ultrasonic sensors, radar) with external data sources (municipal parking management systems, private parking operators, cloud-based parking databases) to create a comprehensive parking assistance system. This merging of internal and external data sources improves measurement precision and reliability of surrounding environment detection while maintaining manageable system complexity through modular architecture.
2Reliability
If multiple external data sources are integrated, then the reliability and comprehensiveness of parking data improves, but the device complexity increases
Solution Approach 1:
The patent introduces intermediary components including a cloud-based parking database, data communication modules, and standardized data exchange protocols that mediate between multiple external data sources and the vehicle's parking assistance system. These intermediaries aggregate, filter, and standardize data from municipal systems, private operators, and other external sources, improving data reliability while shielding the vehicle system from direct complexity of managing multiple independent data sources.
Solution Approach 2:
The patent creates a universal data processing architecture that can handle multiple types of external data sources (municipal parking management systems, private parking operators, cloud databases) through standardized interfaces and protocols. This multi-functional design allows the system to reliably process diverse data sources without requiring separate processing paths for each source, thereby improving reliability while controlling complexity.
3Ease of operation
If only internal sensors are used, then the ease of operation is maintained, but the productivity of parking operations decreases due to longer time required for safe parking
Solution Approach 1:
The patent implements preliminary action by pre-processing and pre-validating parking space data from external sources before the vehicle arrives. The system receives advance information about available parking spaces, validates data against multiple sources, and prepares guidance information in advance. This preliminary processing reduces the time required during actual parking execution, improving productivity while maintaining ease of operation through pre-prepared guidance.
Solution Approach 2:
The patent incorporates feedback mechanisms where the system continuously monitors parking progress using both internal sensors and external data sources, providing real-time feedback to the driver. This feedback includes confirmation that the vehicle is approaching the correct parking space, alerts about obstacles detected by external sources, and guidance adjustments based on actual vehicle position. This feedback loop enables faster, more confident parking decisions, improving productivity without compromising ease of operation.
Data Source
AI summary
A computer-implemented method includes: receiving, by a computing device, parking related data from a plurality of external data sources, wherein the external data sources are implemented externally and independently of a vehicle; generating, by the computing device, parking guidance for assisting a driver of the vehicle to park in an open parking space based on the parking related data received from the plurality of external data sources; and presenting, by the computing device, the parking guidance to the driver of the vehicle.